Catholic Charities of the Archdiocese of Denver needs to develop, deploy, and manage AI-driven solutions to enhance operational efficiency, client service, and data-driven decision-making, bridging the gap between business needs and technical execution.
Requirements
- Strong understanding of machine learning concepts, model lifecycle, and AI ethics.
- Proven ability to lead cross-functional teams and manage complex projects.
- Excellent communication, stakeholder management, and analytical skills.
- Ability to interact effectively as a team member and independently with Catholic Charities’ staff and with a diverse client base.
- Stay up to date with the latest model capabilities, pitfalls, trends and use cases.
Responsibilities
- Leads the development, deployment, and lifecycle management of AI-driven solutions across Catholic Charities.
- Identify opportunities for AI integration that enhance operational efficiency, client service, and data-driven decision-making.
- Oversee the development and refinement of AI models, ensuring ethical use, data privacy, and regulatory compliance.
- Build appropriate software applications as needed to increase efficiency and reduce costs across the agency.
- Define KPIs and success metrics for AI products; monitor performance and iterate based on feedback and data.
- Ensure responsible AI use by adhering to internal policies such as the Company AI Acquisition and Acceptable Use Policy v1.0.
- Support organizational readiness by contributing to AI training programs and change management strategies.
Other
- Define and communicate a clear product vision for AI initiatives that align with organizational priorities.
- Collaborate with IT team, PMO Office, ministry leaders, operations, and compliance teams to scope, build, and deploy AI solutions.
- Own the AI product roadmap, prioritize features based on impact and feasibility, and manage the product backlog.
- Promote AI literacy and adoption across departments, leveraging insights from internal surveys and task force discussions.
- Bachelor’s or master's degree in Computer Science, Engineering, Data Science, or related field or equivalent from an accredited university plus five years experience and/or training; or equivalent combination of education and experience.
